{"id":"https://openalex.org/W4384557655","doi":"https://doi.org/10.3390/rs15143552","title":"A Convolution and Attention Neural Network with MDTW Loss for Cross-Variable Reconstruction of Remote Sensing Image Series","display_name":"A Convolution and Attention Neural Network with MDTW Loss for Cross-Variable Reconstruction of Remote Sensing Image Series","publication_year":2023,"publication_date":"2023-07-14","ids":{"openalex":"https://openalex.org/W4384557655","doi":"https://doi.org/10.3390/rs15143552"},"language":"en","primary_location":{"id":"doi:10.3390/rs15143552","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15143552","pdf_url":"https://www.mdpi.com/2072-4292/15/14/3552/pdf?version=1689579475","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/14/3552/pdf?version=1689579475","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100695735","display_name":"Chao Li","orcid":"https://orcid.org/0000-0001-8052-8005"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210114556","display_name":"First Institute of Oceanography","ror":"https://ror.org/01y34t753","country_code":"CN","type":"facility","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210114556","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Li","raw_affiliation_strings":["First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China","Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China","Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China"],"affiliations":[{"raw_affiliation_string":"First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China","institution_ids":["https://openalex.org/I4210114556","https://openalex.org/I211433327"]},{"raw_affiliation_string":"Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324835","display_name":"Haoran Wang","orcid":"https://orcid.org/0000-0003-2781-6264"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Wang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan 250061, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan 250061, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057361506","display_name":"Qinglei Su","orcid":"https://orcid.org/0000-0003-2275-624X"},"institutions":[{"id":"https://openalex.org/I4210114556","display_name":"First Institute of Oceanography","ror":"https://ror.org/01y34t753","country_code":"CN","type":"facility","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210114556","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinglei Su","raw_affiliation_strings":["First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China","Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China","Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China"],"affiliations":[{"raw_affiliation_string":"First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China","institution_ids":["https://openalex.org/I4210114556","https://openalex.org/I211433327"]},{"raw_affiliation_string":"Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027351783","display_name":"Chunlin Ning","orcid":"https://orcid.org/0009-0002-3194-6352"},"institutions":[{"id":"https://openalex.org/I4210114556","display_name":"First Institute of Oceanography","ror":"https://ror.org/01y34t753","country_code":"CN","type":"facility","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210114556","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlin Ning","raw_affiliation_strings":["First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China","Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China","Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China"],"affiliations":[{"raw_affiliation_string":"First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China","institution_ids":["https://openalex.org/I4210114556","https://openalex.org/I211433327"]},{"raw_affiliation_string":"Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100416723","display_name":"Teng Li","orcid":"https://orcid.org/0000-0001-9042-9211"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Teng Li","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan 250061, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan 250061, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100416723"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07532002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"14","first_page":"3552","last_page":"3552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.955299973487854,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7605054378509521},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.616968035697937},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5984036326408386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5294912457466125},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5274351239204407},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.4884108901023865},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4816702604293823},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4762980043888092},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4739948511123657},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.43330246210098267},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4302006661891937},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4085952043533325},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40189480781555176},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3821072280406952},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13773339986801147},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11628469824790955},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07143041491508484}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7605054378509521},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.616968035697937},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5984036326408386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5294912457466125},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5274351239204407},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.4884108901023865},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4816702604293823},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4762980043888092},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4739948511123657},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.43330246210098267},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4302006661891937},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4085952043533325},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40189480781555176},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3821072280406952},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13773339986801147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11628469824790955},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07143041491508484},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15143552","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15143552","pdf_url":"https://www.mdpi.com/2072-4292/15/14/3552/pdf?version=1689579475","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2c4c0d3c83b14ad5a4b414fdc90f6c5c","is_oa":true,"landing_page_url":"https://doaj.org/article/2c4c0d3c83b14ad5a4b414fdc90f6c5c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 14, p 3552 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/14/3552/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15143552","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 15; Issue 14; Pages: 3552","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15143552","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15143552","pdf_url":"https://www.mdpi.com/2072-4292/15/14/3552/pdf?version=1689579475","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.8299999833106995}],"awards":[{"id":"https://openalex.org/G2787911350","display_name":null,"funder_award_id":"2022YFC3104301","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3125108443","display_name":null,"funder_award_id":"04301","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8764071032","display_name":null,"funder_award_id":"2022YFC","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4384557655.pdf"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1559148916","https://openalex.org/W2034677232","https://openalex.org/W2064675550","https://openalex.org/W2091735588","https://openalex.org/W2157331557","https://openalex.org/W2283896980","https://openalex.org/W2412588858","https://openalex.org/W2591724398","https://openalex.org/W2625614184","https://openalex.org/W2776526448","https://openalex.org/W2788008270","https://openalex.org/W2801586435","https://openalex.org/W2807743986","https://openalex.org/W2971347383","https://openalex.org/W2998010409","https://openalex.org/W3008439211","https://openalex.org/W3103964896","https://openalex.org/W3136246337","https://openalex.org/W3139295695","https://openalex.org/W3164781827","https://openalex.org/W4206909333","https://openalex.org/W4206941194","https://openalex.org/W4221087922","https://openalex.org/W4309777352","https://openalex.org/W4323316583","https://openalex.org/W6628877408","https://openalex.org/W6633321415","https://openalex.org/W6739112683","https://openalex.org/W6767141205","https://openalex.org/W6795737213"],"related_works":["https://openalex.org/W1670332068","https://openalex.org/W2095618524","https://openalex.org/W2735770592","https://openalex.org/W2347413598","https://openalex.org/W1918542373","https://openalex.org/W71572444","https://openalex.org/W1997383766","https://openalex.org/W2154472250","https://openalex.org/W2350336482","https://openalex.org/W2229352698"],"abstract_inverted_index":{"Environmental":[0],"images":[1],"that":[2,27],"are":[3],"captured":[4],"by":[5,91],"satellites":[6],"can":[7,75],"provide":[8],"significant":[9],"information":[10],"for":[11,115],"weather":[12],"forecasting,":[13],"climate":[14],"warning,":[15],"and":[16,41,58,68,99],"so":[17],"on.":[18],"This":[19],"article":[20],"introduces":[21],"a":[22,29,36,42,94],"novel":[23],"deep":[24],"neural":[25,38],"network":[26,39],"integrates":[28],"convolutional":[30],"attention":[31],"feature":[32],"extractor":[33],"(CAFE)":[34],"in":[35],"recurrent":[37],"frame":[40],"multivariate":[43],"dynamic":[44],"time":[45],"warping":[46],"(MDTW)":[47],"loss.":[48],"The":[49,72,83],"CAFE":[50],"module":[51],"is":[52,89],"designed":[53],"to":[54],"capture":[55],"the":[56,65,69,77,86,108,112],"complicated":[57],"hidden":[59],"dependencies":[60],"within":[61],"image":[62,78,117],"series":[63,79,118],"between":[64],"source":[66],"variable":[67],"target":[70],"variable.":[71],"proposed":[73,87,113],"method":[74,88,114],"reconstruct":[76],"across":[80],"environmental":[81],"variables.":[82],"performance":[84,110],"of":[85,111],"validated":[90],"experiments":[92],"using":[93],"real-world":[95],"remote":[96],"sensing":[97],"dataset":[98],"compared":[100],"with":[101],"several":[102],"representative":[103],"methods.":[104],"Experimental":[105],"results":[106],"demonstrate":[107],"emerging":[109],"cross-variable":[116],"reconstruction.":[119]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}